Contents
Robotics represents the perfect intersection between the physical and digital worlds: machines capable of perception, reasoning, and action. Today, robotics has evolved from being merely an industrial curiosity to an integral part of our daily lives. This article explores the current state of robotics, its major advancements and challenges, and how we can envision its evolution moving forward.
1. Current State: From Prototypes to Real Deployment
1.1 Recent Technological Advances
Recent discussions highlight that the most complex technological advancements have already been achieved. Currently, the main challenge is no longer just getting a robot to move but enabling it to think and act contextually in unstructured environments, such as homes and public spaces. Long-term investments have led to robots that now automate complex tasks across various sectors, including manufacturing, healthcare, disaster zones, and space exploration.
1.2 Global Trends in Robotics
In 2026, the global value of industrial robot installations reached approximately $16.7 billion, fueled by AI-enhanced autonomy, the integration of IT and operational technology (OT), industrial humanoids, safety improvements, and human-machine collaboration. Visual perception has become the cornerstone of physical intelligence, propelling robotics from basic automation to models that can understand intentions and adapt to dynamic environments.
2. Reflections on the Present
2.1 Physical Intelligence as a New Paradigm
The transition towards ‘contextual’ robotics is evident: robots are expected to grasp the «why» behind an action, not just the «how.» In defense sectors, initiatives are underway to integrate intelligence at the material level, allowing for real-time responses without centralized computing.
2.2 From Human Control to Autonomous Thinking
While some robots are already operating autonomously in transportation, warehouses, and factories, they still require human supervision to handle unforeseen circumstances and make judgment calls. Teleoperation remains essential as a backup. Currently, levels 2 and 3 of robotic systems—defined software perception and skilled manipulation—are primarily transforming the automated economy, but general autonomy will require advancements in unresolved causal reasoning.
3. Looking Ahead: Toward Integration and Mass Deployment
3.1 Economic Scale by 2040
Projections indicate that between now and 2040, at least $1 trillion in economic value will be generated, mainly in manufacturing and logistics. The focus will shift towards innovation in products and tasks rather than merely replacing workers. The market for general-purpose robots, currently less than $1 billion, is anticipated to reach $370 billion by 2040 if barriers such as mobility, safety, energy autonomy, and cost are overcome.
3.2 Emerging Areas of Innovation
The market for humanoids is expected to range from less than 1 million to 6 million units annually by 2030, depending on various scenarios. Technologies like electronic skin, which provide ultra-fast response features, are beginning to emerge. While currently expensive, their democratization is anticipated in the near future. A notable update in robotics has been released, enhancing the dexterity and control of robots through improved AI models.
4. Challenges and Opportunities: Ethical, Social, and Structural Implications
In Europe, political momentum is pushing for robotics to compete globally, aiming for 33% of the worldwide market. Supported by a projected budget of €175 billion under the Horizon Europe framework from 2028 to 2034, there are persistent debates about the future direction of robotics. However, the future may not necessarily be humanoid; experts advocate for specialized robots focused on specific tasks, emphasizing efficiency over human mimicry.
Conclusion
We are entering a new robotic era: the foundational phase has been established, and the next challenge lies in mass deployment within complex environments. The emphasis is shifting from merely creating robots that move to developing systems that perceive, reason, and act contextually, safely, and collaboratively.
The convergence of advanced AI, innovative hardware (such as intelligent embedded materials), data integration, and social adaptation will be the transformative drivers of this field. The challenge will be to scale these technologies while keeping ethics, safety, and human value at the forefront of development.
Thus, both in the present and the future, robotics will not only automate tasks but also promises to enhance creativity, safety, and collaboration between humans and machines.